{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T18:16:32Z","timestamp":1769710592344,"version":"3.49.0"},"reference-count":30,"publisher":"SAGE Publications","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2023,1,30]]},"abstract":"<jats:p>A dynamic world has different uncertainties. These uncertainties always impact adversely while making decisions. Existing systems sometimes fail as they are trained without considering uncertainty inclusion due to the dynamic nature of the problem. This is quite observed in gaming, which is most dynamic and contributes adversely while deciding for the next move. Strategic games have fewer uncertainties rather than ground sports. Many types of factors add uncertainty to the system. There is a need of handling the required uncertainty which will help in making the decision. Also while finding similarities between games or matches, player and playing style results don\u2019t depict exact similarities between them. There is a need to measure uncertainty-based similarities as it helps in deciding the situation of the game or player. Here Uncertainty based decision support system is proposed which takes uncertainty as input rather than only considering patterns of input. Patterns always help if the system is more static while considering a dynamic system where we need to consider patterns and uncertainties in the scenarios. Results are shown on limited types of moves in game data and how uncertainty-based similarity and next move selection are improved.<\/jats:p>","DOI":"10.3233\/jifs-221611","type":"journal-article","created":{"date-parts":[[2022,9,20]],"date-time":"2022-09-20T14:17:45Z","timestamp":1663683465000},"page":"3381-3397","source":"Crossref","is-referenced-by-count":2,"title":["Uncertainty-based decision support system for gaming applications"],"prefix":"10.1177","volume":"44","author":[{"given":"Vinayak","family":"Jagtap","sequence":"first","affiliation":[]},{"given":"Parag","family":"Kulkarni","sequence":"additional","affiliation":[]},{"given":"Pallavi","family":"Joshi","sequence":"additional","affiliation":[]}],"member":"179","reference":[{"key":"10.3233\/JIFS-221611_ref2","doi-asserted-by":"crossref","first-page":"101802","DOI":"10.1016\/j.ijdrr.2020.101802","article-title":"Using serious gaming to explore how uncertainty affects stakeholder decision-making across the science-policy divide during disasters","volume":"51","author":"Schueller","year":"2020","journal-title":"International Journal of Disaster Risk Reduction"},{"issue":"2","key":"10.3233\/JIFS-221611_ref3","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1177\/0266382114538350","article-title":"Gamification: Making work fun, or making fun of work?","volume":"31","author":"Dale","year":"2014","journal-title":"Business Information Review"},{"issue":"3","key":"10.3233\/JIFS-221611_ref5","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1111\/jcal.12088","article-title":"A mobile gamification learning system for improving the learning motivation and achievements","volume":"31","author":"Su","year":"2015","journal-title":"Journal of Computer Assisted Learning"},{"issue":"4","key":"10.3233\/JIFS-221611_ref6","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1145\/2212877.2212883","article-title":"Gamification: designing for motivation","volume":"19","author":"Deterding","year":"2012","journal-title":"Interactions"},{"key":"10.3233\/JIFS-221611_ref7","first-page":"6","article-title":"Meta-synthesis of player typologies, In, Tampere, Finland Jun","author":"Tuunanen","year":"2012","journal-title":"Proceedings of Nordic Digra 2012 Conference: Games in Culture and Society"},{"issue":"3","key":"10.3233\/JIFS-221611_ref9","first-page":"86","article-title":"Tolerance and intolerance for uncertainty as predictors of decision making and risk acceptance in gaming strategies of the Iowa gambling task","volume":"11","author":"Kornilova","year":"2018","journal-title":"Psychology in Russia"},{"issue":"1","key":"10.3233\/JIFS-221611_ref10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.1574-0862.2005.00433.x","article-title":"Risk, uncertainty, and learning in adoption of a crop innovation","volume":"33","author":"Ghadim","year":"2005","journal-title":"Agricultural Economics"},{"key":"10.3233\/JIFS-221611_ref11","unstructured":"Greg Costikyan, Uncertainty in games, Mit Press, 2013."},{"key":"10.3233\/JIFS-221611_ref12","first-page":"172","article-title":"Market uncertainty and learning distance in corporate entrepreneurship entry mode choice","volume":"151","author":"Hoskisson Robert","year":"2002","journal-title":"Strategic Entrepreneurship: Creating a New Mindset"},{"issue":"4","key":"10.3233\/JIFS-221611_ref14","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1007\/BF00122575","article-title":"Recent developments in modeling preferences: Uncertainty and ambiguity","volume":"5","author":"Camerer","year":"1992","journal-title":"Journal of Risk and Uncertainty"},{"issue":"3","key":"10.3233\/JIFS-221611_ref15","doi-asserted-by":"crossref","first-page":"135","DOI":"10.5367\/000000002101296234","article-title":"Creating conducive environments for learning and entrepreneurship: living with, dealing with, creating and enjoying uncertainty and complexity","volume":"16","author":"Gibb","year":"2002","journal-title":"Industry and Higher Education"},{"key":"10.3233\/JIFS-221611_ref16","doi-asserted-by":"crossref","unstructured":"Etienne De Rocquigny, Modelling under risk and uncertainty: an introduction to statistical, phenomenological and computational methods, John Wiley & Sons, 2012.","DOI":"10.1002\/9781119969495"},{"issue":"4","key":"10.3233\/JIFS-221611_ref22","doi-asserted-by":"crossref","first-page":"682","DOI":"10.3390\/jtaer16040040","article-title":"Professionalization of online gaming? theoretical and empirical analysis for a monopoly-holding platform","volume":"16","author":"Ribeiro","year":"2021","journal-title":"Journal of Theoretical and Applied Electronic Commerce Research"},{"key":"10.3233\/JIFS-221611_ref23","doi-asserted-by":"crossref","unstructured":"Kravets P. , Burov Y. , Lytvyn V. and Vysotska V. , Gaming Method of Ontology Clusterization, Webology 16(1) (2019).","DOI":"10.14704\/WEB\/V16I1\/a179"},{"issue":"1-3","key":"10.3233\/JIFS-221611_ref26","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.ress.2004.03.018","article-title":"Comparison of evidence theory and Bayesian theory for uncertainty modeling","volume":"85","author":"Soundappan","year":"2004","journal-title":"Reliability Engineering & System Safety"},{"issue":"4","key":"10.3233\/JIFS-221611_ref27","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1111\/0272-4332.214136","article-title":"Sensitivity analysis, Monte Carlo Risk Analysis, and Bayesian uncertainty assessment","volume":"21","author":"Greenland","year":"2001","journal-title":"Risk Analysis"},{"key":"10.3233\/JIFS-221611_ref28","doi-asserted-by":"crossref","unstructured":"Au S. Operational Modal Analysis, Singapore: Springer Nature, 2017.","DOI":"10.1007\/978-981-10-4118-1"},{"key":"10.3233\/JIFS-221611_ref29","doi-asserted-by":"crossref","unstructured":"Kulkarni P. Reverse hypothesis Machine Learning, Springer International Publishing, 2017.","DOI":"10.1007\/978-3-319-55312-2"},{"issue":"3","key":"10.3233\/JIFS-221611_ref30","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/0888-613X(88)90118-1","article-title":"Choosing uncertainty representations in artificial intelligence","volume":"2","author":"Levitt Tod","year":"1988","journal-title":"International Journal of Approximate Reasoning"},{"issue":"3","key":"10.3233\/JIFS-221611_ref33","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/BF00126502","article-title":"Bayesian modeling of uncertainty in low-level vision","volume":"5","author":"Richard Szeliski","year":"1990","journal-title":"International Journal of Computer Vision"},{"issue":"4","key":"10.3233\/JIFS-221611_ref34","first-page":"619","article-title":"Galaxy formation: a Bayesian uncertainty analysis","volume":"5","author":"Ian Vernon","year":"2010","journal-title":"Bayesian Analysis"},{"issue":"1","key":"10.3233\/JIFS-221611_ref35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1088\/0957-0233\/4\/1\/001","article-title":"A Bayesian theory of measurement uncertainty","volume":"4","author":"Klaus Weise","year":"1993","journal-title":"Measurement Science and Technology"},{"issue":"1","key":"10.3233\/JIFS-221611_ref36","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1007\/s001970050073","article-title":"Bayesian networks as models of human judgement under uncertainty: The role of causal assumptions in belief updating","volume":"8","author":"Marcus Plach","year":"1999","journal-title":"Kognitionswissenschaft"},{"key":"10.3233\/JIFS-221611_ref38","doi-asserted-by":"crossref","unstructured":"Dmitri Kavetski , George Kuczera and Franks Stewart W. , Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory, Water Resources Research 42(3) (2006).","DOI":"10.1029\/2005WR004368"},{"issue":"1","key":"10.3233\/JIFS-221611_ref39","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/S0951-8320(98)00083-0","article-title":"Uncertainty analyses in fault trees and Bayesian networks using FORM\/SORM methods","volume":"65","author":"Enrique Castillo","year":"1999","journal-title":"Reliability Engineering & System Safety"},{"issue":"2-3","key":"10.3233\/JIFS-221611_ref40","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/j.ecolmodel.2003.08.020","article-title":"A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis","volume":"173","author":"Borsuk Mark","year":"2004","journal-title":"Ecological Modelling"},{"issue":"6","key":"10.3233\/JIFS-221611_ref41","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.physrep.2007.05.006","article-title":"Heisenberg\u2019s uncertainty principle","volume":"452","author":"Paul Busch","year":"2007","journal-title":"Physics Reports"},{"issue":"4","key":"10.3233\/JIFS-221611_ref42","first-page":"455","article-title":"Updating models and theiruncertainties, I: Bayesian statistical framework","volume":"124","author":"Beck James","year":"1998","journal-title":"Journal ofEngineering Mechanics"},{"issue":"6","key":"10.3233\/JIFS-221611_ref43","doi-asserted-by":"crossref","first-page":"933","DOI":"10.1049\/iet-its.2018.5353","article-title":"Manoeuvre prediction and planning for automated and connected vehicles based on interaction and gaming awareness under uncertainty","volume":"13","author":"Hu","year":"2019","journal-title":"IET Intelligent Transport Systems"},{"key":"10.3233\/JIFS-221611_ref44","doi-asserted-by":"crossref","unstructured":"Hermstr\u00fcwer Y. Artificial intelligence and administrative decisions under uncertainty, In Regulating Artificial Intelligence 2020 (pp. 199\u2013223). Springer, Cham.","DOI":"10.1007\/978-3-030-32361-5_9"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JIFS-221611","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T06:53:49Z","timestamp":1769669629000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JIFS-221611"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,30]]},"references-count":30,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.3233\/jifs-221611","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,30]]}}}